A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified Model

@article{Chan2007ACA,
  title={A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified Model},
  author={Shing-Kit Chan and Wai Lam and Xiaofeng Yu},
  journal={Seventh IEEE International Conference on Data Mining (ICDM 2007)},
  year={2007},
  pages={93-102}
}
We propose a cascaded approach for extracting biomedical named entities from text documents using a unified model. Previous works often ignore the high computational cost incurred by a single-phase approach. We alleviate this problem by dividing the named entity extraction task into a segmentation task and a classification task, reducing the computational cost by an order of magnitude. A unified model, which we term "maximum-entropy margin-based" (MEMB), is used in both tasks. The MEMB model… CONTINUE READING
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